Browsing College of Computing and Informatics by Subject "Yellow Wheat Rust, Deep Learning, Pretrained Models, Ensemble Models"

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SEVERITY CLASSIFICATION OF YELLOW RUST DISEASE AND TREATMENT RECOMMENDATION FROM WHEAT IMAGES USING DEEP LEARNING TECHNIQUES

Jibril Muhammadnur; Dr. Million Meshesha (PhD); Mr. Jemal Abate (MSc) (Haramaya University, 2024-02)

Wheat yellow rust is the most prevalent and severe wheat fungal disease caused by Puccinia striiformis f. sp. tritici, a pathogen that causes significant losses in wheat production globally because of its highly destructive ...

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